Association between body mass index and diabetic retinopathy in Chinese patients with type 2 diabetes

Lü, Jun; Hou, Xuhong; Zhang, Lei; Jiang, Fusong; Hu, Cheng; Bao, Yuqian; Jia, Weiping

doi:10.1007/s00592-014-0711-y

Cited by 41 publications

(36 citation statements)

References 42 publications

(72 reference statements)

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“…48 It may not be that higher BMI is protective towards DR, but that individuals with lower BMI may have more severe DM (as patients with decompensated disease may undergo a catabolic phase resulting in unintentional weight loss) and thus have a higher risk of developing DR. 48 Lu et al also attributed this inverse relationship to better pancreatic β-cell function in overweight individuals. 46 In contrast to our observation, however, studies in Turkey 23 and Australia 49 found obesity to be an independent risk factor for DR with persons with higher BMI being more likely to have DR and more severe stages of DR.…”

Section: Discussioncontrasting

confidence: 99%

Prevalence and risk factors for diabetic retinopathy in north-central Nigeria

Ewuga¹,

Adenuga²,

Wade³

et al. 2018

Ghana Medical Journal

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Background: To determine the prevalence, pattern and risk factors of Diabetic Retinopathy (DR) among patients with Diabetes Mellitus (DM) in a tertiary hospital in north-central Nigeria. Settings and Design: This was a hospital-based cross-sectional study conducted in Jos, north-central Nigeria. Materials and Methods: Consecutive adult patients with DM attending the endocrinology clinic who consented to the study were examined over a six-month period. Demographic data, duration of diabetes and history of any systemic disorder were obtained for each patient. A detailed ocular examination and fundus photography were performed and results of blood investigations such as Fasting Blood Glucose (FBG), Glycosylated Haemoglobin (HbA1c) and serum lipid profile were analysed. Data analysis was done with Statistical Package for Social Sciences (SPSS) version 16.0 software. Results: Three hundred and fifty-six patients were examined comprising of 120 (33.7%) males and 236 (66.3%) females giving a male to female ratio of 1:2. The mean age of the study population was 56.6 ± 12.3 years. Diabetic retinopathy and macular oedema were present in 66 (18.5%) and 51 (14.3%) patients respectively. Diabetes diagnosis of 10 years and above, FBG and HbA1c all had a statistically significant association with DR with p values <0.001. Conclusion: The prevalence of DR was 18.5% in a hospital cohort of diabetic patients in north-central Nigeria with long duration of diabetes and poor glycaemic control being the major risk factors for retinopathy. These findings highlight the need for regular eye screening and good glycaemic control in individuals with diabetes in our environment.

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Section: Discussioncontrasting

confidence: 99%

Prevalence and risk factors for diabetic retinopathy in north-central Nigeria

Ewuga¹,

Adenuga²,

Wade³

et al. 2018

Ghana Medical Journal

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“…43 Morbid obesity may be an influencing factor of chronic kidney disease (CKD) in women. 44 A U-shaped association between BMI and DR in Chinese T2DM patients was found by Lu et al 45 A central-based, cross-sectional study containing 518 DM patients showed the relationship between DR and BMI in adult patients with T2DM. The correlation study between DR and BMI found that BMI had an inverse relationship with DR when BMI was deemed a continuous variable (p = 0.009 and correlation coefficient 0.467).…”

Section: Body Mass Index and Triglyceridesmentioning

confidence: 87%

<p>Nomogram for the Risk of Diabetic Nephropathy or Diabetic Retinopathy Among Patients with Type 2 Diabetes Mellitus Based on Questionnaire and Biochemical Indicators: A Cross-Sectional Study</p>

Shi¹,

Niu²,

Wu³

et al. 2020

DMSO

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Purpose: This study aimed to develop a diabetic nephropathy (DN) or diabetic retinopathy (DR) incidence risk nomogram in China's population with type 2 diabetes mellitus (T2DM) based on a community-based sample. Methods: We carried out questionnaire evaluations, physical examinations and biochemical tests among 4219 T2DM patients in Shanghai. According to the incidence of DN and DR, 4219 patients in our study were divided into groups of T2DM patients with DN or DR, patients with both, and patients without any complications. We successively used least absolute shrinkage and selection operator regression analysis and logistic regression analysis to optimize the feature selection for DN and DR. To ensure the accuracy of the results, we carried out multivariable logistic regression analysis of the above significant risk factors on the sample data for both DN and DR. The selected features were included to establish a prediction model. The C-index, calibration plot, curve analysis and internal validation were used to validate the distinction, calibration, and clinical practicality of the model. Results: The predictors in the prediction model included disease course, body mass index (BMI), total triglycerides (TGs), systolic blood pressure (SBP), postprandial blood glucose (PBG), haemoglobin A1C (HbA1c) and blood urea nitrogen (BUN). The model displayed moderate predictive power with a C-index of 0.807 and an area under the receiver operating characteristic curve of 0.807. In internal verification, the C-index reached 0.804. The risk threshold was 16-75% according to the analysis of the decision curve, and the nomogram could be applied in clinical practice. Conclusion: This DN or DR incidence risk nomogram incorporating disease course, BMI, TGs, SBP, PBG, HbA1c and BUN can be used to predict DN or DR incidence risk in T2DM patients. The research team has developed an online app based on a clinical prediction model incorporating risk factors for rapid and simple prediction.

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“…It has been suggested that the effect of obesity might be different according to the type of DM . In type 1 DM, obesity and abdominal obesity have been found to be risk factors for developing diabetic retinopathy, whereas two cross‐sectional studies of type 2 DM found less retinopathy in overweight and obese subjects . In the latter study, the greater risk in underweight subjects was no longer significant after adjustment for fasting c‐peptide, the authors hypothesizing that insulin deficiency may mediate retinal deterioration .…”

Section: Discussionmentioning

confidence: 99%

Near Visual Impairment Incidence in Relation to Diabetes in Older People: The Three‐Cities Study

Danet-Lamasou

Pérès

Matharan

et al. 2018

J American Geriatrics Society

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Association between body mass index and diabetic retinopathy in Chinese patients with type 2 diabetes

Abstract: Overweight patients have lower DR prevalence than normal weight individuals, which may be attributable to better β cell function in overweight patients.

Cited by 41 publications

References 42 publications

Prevalence and risk factors for diabetic retinopathy in north-central Nigeria

Prevalence and risk factors for diabetic retinopathy in north-central Nigeria

<p>Nomogram for the Risk of Diabetic Nephropathy or Diabetic Retinopathy Among Patients with Type 2 Diabetes Mellitus Based on Questionnaire and Biochemical Indicators: A Cross-Sectional Study</p>

Near Visual Impairment Incidence in Relation to Diabetes in Older People: The Three‐Cities Study

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